Manager AI/ML
Employer · Genesys
IT manager
R&D manager
Software developerFlexibleFull-timeBudapest
We're seeking a Manager to lead a team of AI Engineers and Data Scientists building, deploying, and operating machine learning and generative AI solutions that drive business outcomes. You'll combine deep applied AI expertise with proven management skill to lead strategic initiatives, grow your people, and ensure AI solutions are delivered responsibly and effectively.
Tasks
- Lead a small to mid-sized team of AI Engineers, Data Scientists, and software engineers; plan resourcing against timelines; and own hiring, performance reviews, coaching, and career development
- Guide research teams that build, train, and deploy their own models, and teams that deliver solutions featuring LLMs and LAMs
- Work on extremely complex problems requiring strong technical and quantitative skill
- Present results to upper management, explain difficult AI and data science concepts and tradeoffs to technical and non-technical audiences
Conditions & benefits
Continuous learning and advancementContinuous learning in both management and emerging AI technologies, with clear advancement paths toward senior leadership roles.Remote work optionsWe offer remote work options and a flexible-first culture.Well-being and time to rechargeBenefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs.
Requirements
- Bachelor's or Master's in Computer Science, Machine Learning, Data Science, Engineering, or related field (or equivalent), with 8-10 years of relevant experience including proven leadership of AI/ML or data science teams
- Proven experience overseeing research teams that have built, trained, and deployed their own models into production
- Direct experience overseeing teams that have built and deployed solutions featuring LLMs and/or LAMs
- Strong grounding in machine learning and statistical methods, model development and evaluation, and hands-on MLOps experience with proficiency in Python and relevant frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face)
- Ability to architect scalable, robust AI and data platforms on AWS